In order to achieve the sufficient consumption of renewable distributed energy and the reduction of the load peak-valley difference in distribution networks, this paper proposes a novel multi-objective optimal dispatching method of active distribution networks considering energy storage systems and air-conditioning loads. Firstly, based on the equivalent thermal parameter model for air-conditioning loads and the state-queue control method, a calculation method for virtual power plant operating characteristics is proposed. Accordingly, a multi-objective optimal dispatching model of active distribution networks is built, aiming to minimize renewable energy curtailment, the operational costs, and load curve variance. Finally, the proposed model is solved and examined on transformed IEEE 33-bus test system by using the multi-objective particle swarm algorithm. Our findings show that our proposed model can effectively increase the consumption of renewable distributed energy and improve the load curve. This work is supported by National Key Research and Development Program of China (No. 2016YFB0900100).